From Genes to Algorithms: Navigating the Biotechnology Data Revolution

Next-generation Sequencing Technologies

Author(s): B. Thirumalaiyammal* and P. F. Steffi

Pp: 41-52 (12)

DOI: 10.2174/9789815324365125030006

* (Excluding Mailing and Handling)

Abstract

Next-Generation Sequencing (NGS) technologies have revolutionized genomics by dramatically expanding our capacity to explore and understand the genome. This chapter provides a comprehensive examination of NGS, encompassing its foundational principles, diverse applications, and current challenges. The discussion begins with an introduction to NGS, highlighting its core characteristics and its role in enabling high-throughput sequencing. Key NGS platforms—including Illumina, Pacific Biosciences, and Oxford Nanopore technologies—are explored in detail, illustrating their unique contributions to the field. Beyond technical aspects, this chapter also examines the far-reaching implications of NGS across multiple disciplines, from clinical diagnostics and personalized medicine to agriculture and evolutionary biology. By enabling unprecedented insights into the human genome, NGS has paved the way for targeted therapies and precision healthcare solutions. However, these advancements come with significant challenges, particularly in data analysis and interpretation. The chapter addresses the complexities of NGS bioinformatics, emphasizing the tools and methodologies required to process and derive meaningful insights from vast genomic datasets. Finally, the transformative role of artificial intelligence and machine learning in enhancing NGS data analysis is discussed, underscoring their potential to further refine genomic research and applications.


Keywords: Bioinformatics, Genomics, NGS, Next-generation sequencing, Oxford nanopore sequencing.